大学电子学习中电子学习准备度、存在感和学习绩效之间的结构关系

Jin Hee Moon
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摘要

本研究以天北省一所四年制大学的 420 名学生为调查对象。本研究的具体结论如下。 首先,为考察大学生所感知的电子学习准备度、存在感(教学存在感、认知存在感)和学习绩效(感知成就、学习满意度、坚持学习的意愿)之间的结构关系而设计的研究模型是拟合的。这说明电子学习准备度、存在感(教学存在感、认知存在感)和学习绩效(感知成就、学习满意度、坚持学习的意愿)之间存在显着的结构关系。其次,在分析变量的直接效应时,发现①电子学习准备度与学习满意度、②电子学习准备度与坚持学习的意向、③电子学习准备度与临场感(教学临场感、认知临场感)、④教学临场感与学习绩效(感知成就、学习满意度、坚持学习的意向)之间存在显著的直接效应、教学临场感与认知临场感,6)认知临场感与学习绩效(感知成就、学习满意度、坚持学习的意愿)。第三,在分析变量的间接效应时,教学临场感对①网络学习准备度与学习绩效(感知成就、学习满意度、坚持学习的意愿)之间的关系有显著的中介效应,认知临场感对②网络学习准备度与学习绩效(感知成就、学习满意度、坚持学习的意愿)之间的关系有显著的中介效应。)同时,在网络学习准备度与学习绩效(感知成就、学习满意度、坚持学习的意愿)的关系中,教学临场感和认知临场感的双重中介效应显著。 本研究验证了与大学电子学习中高学习绩效相关的个体变量的因果关系,并提出了提高学习绩效水平的方法。总之,这项研究表明,有必要进行教学设计,以加强电子学习的准备程度,从而提高学习成绩,并有必要在教学设计中考虑教学临场感和认知临场感因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural Relationships among e-Learning Readiness, Presence and Learning Performance in University e-Learning
For this study, a survey targeting 420 students from a 4-year university in Cheonbuk Province. The specific findings of this study are as follows. First, the research model devised to examine the structural relationships among e-Learning readiness, presence(teaching presence, cognitive presence) and learning performance(perceived achievement, learning satisfaction, intention to persist in learning) perceived by the university students was fit. This means there are significant structural relationships among e-Learning readiness, presence(teaching presence, cognitive presence) and learning performance(perceived achievement, learning satisfaction, intention to persist in learning). Second, when analyzing the direct effects of the variables, the significant direct effects were found between 1) e-Learning readiness and learning satisfaction, 2) e-Learning readiness and intention to persist in learning, 3) e-Learning readiness and presence(teaching presence, cognitive presence), 4) teaching presence and learning performance(perceived achievement, learning satisfaction, intention to persist in learning), 5) teaching presence and cognitive presence, and 6) cognitive presence and learning performance(perceived achievement, learning satisfaction, intention to persist in learning), except for the direct effects on e-Learning readiness and perceived achievement. Third, when analyzing the indirect effects of the variables, there were significant mediating effects of teaching presence in the relationship between 1) e-Learning readiness and learning performance(perceived achievement, learning satisfaction, intention to persist in learning), and of cognitive presence in the relationship between 2) e-Learning readiness and learning performance(perceived achievement, learning satisfaction, intention to persist in learning). Also, the double-mediating effects of teaching presence and cognitive presence were significant in the relationship between e-Learning readiness and learning performance(perceived achievement, learning satisfaction, intention to persist in learning). This study verified the causal relationships of individual variables, which are relevant to high learning performance in university e-Learning and suggested a methodology to enhance the level of learning performance. In conclusion, the study suggests the need for an instructional design to reinforce e-Learning readiness for enhancing learning performance and for a consideration of teaching presence and cognitive presence factors for an instructional design.
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